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Course Outline
Introduction to Kubiya AI
- Overview of Kubiya AI and its core capabilities
- AI-powered automation within cloud environments
- Key features of Kubiya AI for effective cloud management
Cloud Resource Automation
- Automating resource provisioning with Kubiya AI
- Managing cloud environments via AI-driven workflows
- Integration with leading cloud services (AWS, Azure, Google Cloud)
Optimizing Cloud Costs with AI
- AI-based strategies for cost optimization
- Real-time monitoring of cloud usage and expenditures
- AI-generated recommendations for reducing cloud costs
Security Enhancements Using Kubiya AI
- AI-driven security monitoring and threat detection
- Automated incident response mechanisms
- Implementing compliance checks with AI support
Hands-On with Kubiya AI
- Setting up Kubiya AI for cloud operations
- Practical labs: Automating cloud resource management
- Practical labs: Implementing cost optimization techniques
Challenges and Future Trends
- Scalability and performance challenges in cloud AI automation
- Emerging trends in AI for cloud operations
- The future of AI-powered cloud management
Advanced Kubiya AI Concepts
- Exploring advanced AI features for cloud automation
- Implementing advanced security and cost-saving techniques
- Customizing Kubiya AI for specific cloud environments
Summary and Next Steps
Requirements
- Experience with major cloud platforms (AWS, Azure, or Google Cloud)
- Fundamental understanding of DevOps practices
- Familiarity with automation tools
Target Audience
- Cloud engineers
- Operations managers
14 Hours
Testimonials (2)
All of the training was great. Especially liked the training documentation to reference. Looking forward to the Advanced Training, when we are ready.
Amy Gregg - Qualfon
Course - Boomi Integration Fundamentals
I've find out new interesting things about Lambda and Serverless